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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface
A J Lee, Alex Cunningham, Karoline Kuchenbaecker, et al.
British Journal of Cancer (2013) Vol. 110, Iss. 2, pp. 535-545
Open Access | Times Cited: 205

Showing 1-25 of 205 citing articles:

Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes
Nasim Mavaddat, Kyriaki Michailidou, Joe Dennis, et al.
The American Journal of Human Genetics (2018) Vol. 104, Iss. 1, pp. 21-34
Open Access | Times Cited: 919
Gene-Panel Sequencing and the Prediction of Breast-Cancer Risk
Douglas F. Easton, Paul D.P. Pharoah, Antonis C. Antoniou, et al.
New England Journal of Medicine (2015) Vol. 372, Iss. 23, pp. 2243-2257
Open Access | Times Cited: 855
Developing and evaluating polygenic risk prediction models for stratified disease prevention
Nilanjan Chatterjee, Jianxin Shi, Montserrat García‐Closas
Nature Reviews Genetics (2016) Vol. 17, Iss. 7, pp. 392-406
Open Access | Times Cited: 657
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
Andrew Lee, Nasim Mavaddat, Amber N. Wilcox, et al.
Genetics in Medicine (2019) Vol. 21, Iss. 8, pp. 1708-1718
Open Access | Times Cited: 586
The evolution of cancer surgery and future perspectives
Lynda Wyld, Riccardo A. Audisio, Graeme J. Poston
Nature Reviews Clinical Oncology (2014) Vol. 12, Iss. 2, pp. 115-124
Closed Access | Times Cited: 328
The Role of Risk-Reducing Surgery in Hereditary Breast and Ovarian Cancer
Lynn C. Hartmann, Noralane M. Lindor
New England Journal of Medicine (2016) Vol. 374, Iss. 5, pp. 454-468
Closed Access | Times Cited: 230
Prevalence ofBRCA1/2germline mutations in 21 401 families with breast and ovarian cancer
Karin Kast, Kerstin Rhiem, Barbara Wappenschmidt, et al.
Journal of Medical Genetics (2016) Vol. 53, Iss. 7, pp. 465-471
Open Access | Times Cited: 198
Breast cancer prevention in high-risk women
Mangesh A. Thorat, Rajeshkumar Balasubramanian
Best Practice & Research Clinical Obstetrics & Gynaecology (2019) Vol. 65, pp. 18-31
Open Access | Times Cited: 149
Pathology of Tumors Associated With Pathogenic Germline Variants in 9 Breast Cancer Susceptibility Genes
Nasim Mavaddat, Leila Dorling, Sara Carvalho, et al.
JAMA Oncology (2022) Vol. 8, Iss. 3, pp. e216744-e216744
Open Access | Times Cited: 84
Age- and Tumor Subtype–Specific Breast Cancer Risk Estimates for CHEK2*1100delC Carriers
Marjanka K. Schmidt, Frans B.L. Hogervorst, Richard van Hien, et al.
Journal of Clinical Oncology (2016) Vol. 34, Iss. 23, pp. 2750-2760
Open Access | Times Cited: 166
Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications
Jessica Cintolo-Gonzalez, Danielle Braun, Amanda L. Blackford, et al.
Breast Cancer Research and Treatment (2017) Vol. 164, Iss. 2, pp. 263-284
Closed Access | Times Cited: 158
Prevalence of mutations in a panel of breast cancer susceptibility genes in BRCA1/2-negative patients with early-onset breast cancer
Kara N. Maxwell, Bradley Wubbenhorst, Kurt D’Andrea, et al.
Genetics in Medicine (2014) Vol. 17, Iss. 8, pp. 630-638
Open Access | Times Cited: 153
Delivering widespread BRCA testing and PARP inhibition to patients with ovarian cancer
Angela George, Stan B. Kaye, Susana Banerjee
Nature Reviews Clinical Oncology (2016) Vol. 14, Iss. 5, pp. 284-296
Closed Access | Times Cited: 142
Patient Similarity Networks for Precision Medicine
Shraddha Pai, Gary D. Bader
Journal of Molecular Biology (2018) Vol. 430, Iss. 18, pp. 2924-2938
Open Access | Times Cited: 137
Refined histopathological predictors of BRCA1 and BRCA2mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia
Amanda B. Spurdle, Fergus J. Couch, Michael T. Parsons, et al.
Breast Cancer Research (2014) Vol. 16, Iss. 6
Open Access | Times Cited: 109
Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants
Daniel R. Barnes, Matti A. Rookus, Lesley McGuffog, et al.
Genetics in Medicine (2020) Vol. 22, Iss. 10, pp. 1653-1666
Open Access | Times Cited: 104
Impact of Age at Primary Breast Cancer on Contralateral Breast Cancer Risk in BRCA1/2 Mutation Carriers
Alexandra J. van den Broek, Laura van ‘t Veer, Maartje J. Hooning, et al.
Journal of Clinical Oncology (2015) Vol. 34, Iss. 5, pp. 409-418
Open Access | Times Cited: 96
Evaluation of Cancer-Based Criteria for Use in MainstreamBRCA1andBRCA2Genetic Testing in Patients With Breast Cancer
Zoe Kemp, Alice Turnbull, Shawn Yost, et al.
JAMA Network Open (2019) Vol. 2, Iss. 5, pp. e194428-e194428
Open Access | Times Cited: 95
Incorporating truncating variants in PALB2, CHEK2, and ATM into the BOADICEA breast cancer risk model
Andrew Lee, Alex Cunningham, Marc Tischkowitz, et al.
Genetics in Medicine (2016) Vol. 18, Iss. 12, pp. 1190-1198
Open Access | Times Cited: 91
netDx: interpretable patient classification using integrated patient similarity networks
Shraddha Pai, Shirley Hui, Ruth Isserlin, et al.
Molecular Systems Biology (2019) Vol. 15, Iss. 3
Open Access | Times Cited: 91
CanRisk Tool—A Web Interface for the Prediction of Breast and Ovarian Cancer Risk and the Likelihood of Carrying Genetic Pathogenic Variants
Tim Carver, Simon Hartley, Andrew Lee, et al.
Cancer Epidemiology Biomarkers & Prevention (2021) Vol. 30, Iss. 3, pp. 469-473
Open Access | Times Cited: 90
iCARE: An R package to build, validate and apply absolute risk models
Parichoy Pal Choudhury, Paige Maas, Amber N. Wilcox, et al.
PLoS ONE (2020) Vol. 15, Iss. 2, pp. e0228198-e0228198
Open Access | Times Cited: 84
Assessing Risk of Breast Cancer: A Review of Risk Prediction Models
Geunwon Kim, Manisha Bahl
Journal of Breast Imaging (2021) Vol. 3, Iss. 2, pp. 144-155
Open Access | Times Cited: 70
Current and Emerging Methods for Ovarian Cancer Screening and Diagnostics: A Comprehensive Review
Juliane Liberto, Sheng-Yin Chen, Ie‐Ming Shih, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 2885-2885
Open Access | Times Cited: 63
Enhancing the BOADICEA cancer risk prediction model to incorporate new data onRAD51C,RAD51D,BARD1updates to tumour pathology and cancer incidence
Andrew Lee, Nasim Mavaddat, Alex Cunningham, et al.
Journal of Medical Genetics (2022) Vol. 59, Iss. 12, pp. 1206-1218
Open Access | Times Cited: 46
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